Cognitive Neuroscience comes of Age: Using Closed-loop Neuromodulation to induce clinical change

Educational Objectives
- Explain the use of fluctuating, spontaneous neural activity for predicting cognitive task performance
- Describe a newly developed method using functional magnetic imaging (fMRI) to modify aberrant neurocircuitry in the human brain
- List new advances in neuroimaging - especially regarding developing implicit procedures for potentially changing the neural substrates of cognition and modifying behavior
Course Information
Target Audience: | Intermediate |
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Availability: | Date Available: 2022-12-07 |
You may obtain CE for this webinar at any time. | |
Offered for CE | Yes |
Cost | Members $20 |
Non-Members $30 | |
Refund Policy | This webinar is not eligible for refunds |
CE Credits 1.0 |
Abstract
During the past several decades we’ve witness tremendous advances in our ability to study human brain function. Now, for example, we can probe processing differences at the level of the cortical laminar, and identify the brain’s intrinsic network architecture via recording slowly fluctuating, spontaneous neural activity at rest. Yet, despite these and other advances, we have little to show for it on the treatment front. In this webinar, I will highlight recent advances in functional neuroimaging that may potentially offer a means for modifying aberrant neurocircuitry in neuropsychiatric patients. This method, closed-loop neuromodulation, uses implicit feedback to manipulate spontaneous activity at the network level, without violating the spontaneous or endogenous nature of the signal inherent in other techniques like TMS (transcranial magnetic stimulation). As a result, it may also provide a means for directly testing network causality.
References
- Martin A, Barnes KA, Stevens WD. (2012). Spontaneous neural activity predicts individual differences in performance. Proceedings of the National Academy of Sciences, 3201-3202.
- Gotts SJ, Simmons WK, Milbury LA, Wallace GL, Cox R, Martin A. (2012). Fractionation of social brain circuits in autism spectrum disorders. Brain, 2711-2755.
- Plitt M, Barnes KA, Wallace GL, Kenworthy L, Martin A. (2015).Resting-state functional connectivity predicts longitudinal change in autistic traits and adaptive functioning in autism. Proceedings of the National Academy of Sciences, 112, E 6699 –E6706, 2015.
- Ramot M, Kimmich S, Gonzalez-Castillo J, Roopchansingh V, Popal H, White E, Gotts SJ, Martin A. (2017). Direct modulation of aberrant brain network connectivity through real-time NeuroFeedback. eLife 2017;6:e28974 DOI: 10.7554/eLife.28974.
- Ramot M, Martin A. Closed-loop neuromodulation for studying spontaneous activity and causality. Trends in Cognitive Science, 26, 2022.
Disclosures
None